Complete Spatial Randomness

Complete Spatial Randomness is a stochastic point process model in which events are distributed independently and uniformly across a given study region, such that the location of any point is unaffected by the locations of all other points and every subregion has an equal probability of containing a point per unit area.

87

Publications

4.7K

Citations

254

Authors

149

Institutions

Publications per year

2017–2026

13

Authors

254

  1. AB
    Adrian Baddeley

    The University of Western Australia, Australia

    3 publications · 346 citations

    3

    h-index

  2. BJ
    Benjamin J. Binder

    The University of Adelaide, Australia

    3 publications · 92 citations

    3

    h-index

  3. SN
    Sung Nok Chiu

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 60 citations

    3

    h-index

  4. SG
    Sihui Guo

    Institute of Geographic Sciences and Natural Resources Research, China

    2 publications · 74 citations

    2

    h-index

  5. JC
    Joël Chadœuf

    Biostatistique et processus spatiaux, France

    2 publications · 30 citations

    2

    h-index

1–5 of 254

Venues

  1. Journal of Vegetation Science

    JVS · 4 publications · 691 citations

    4

    h-index

  2. Biometrics

    3 publications · 136 citations

    3

    h-index

  3. Journal of Microscopy

    3 publications · 71 citations

    3

    h-index

  4. Physical Review E

    PRE · 3 publications · 92 citations

    3

    h-index

  5. Statistica Neerlandica

    2 publications · 249 citations

    2

    h-index

1–5